Search results for "Memory"

showing 10 items of 2004 documents

Metabolic memory in diabetic foot syndrome (dfs): epigenetic changes of the expression of micro-rnas and single nucleotide polymorphisms (snps) frequ…

2023

Background: Diabetic foot is a significant cause of morbidity in diabetic patients, with a rate that is approximatelytwice that of patients without foot ulcers. “Metabolic memory” represents the epigenetic changes induced by chronic hyperglycaemia, despite the correction of the glucose levels themselves. These epigenetic modifications appear to perpetuate the damage caused by persistently elevated glucose levels even in their absence, acting at various levels, mostly affecting the molecular processes of diabetic ulcer healing. Methods: The aim of our cross-sectional study was to analyse a cohort of patients with diabetes with and without lower limb ulcers. We examined the effects of epigene…

Metabolic memory diabetic foot epigenetics SNPs microRNASettore MED/09 - Medicina InternaSettore BIO/12 - Biochimica Clinica E Biologia Molecolare ClinicaSettore BIO/13 - Biologia ApplicataSettore MED/42 - Igiene Generale E Applicata
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Simurgh

2021

The availability of non-volatile main memory (NVMM) has started a new era for storage systems and NVMM specific file systems can support extremely high data and metadata rates, which are required by many HPC and data-intensive applications. Scaling metadata performance within NVMM file systems is nevertheless often restricted by the Linux kernel storage stack, while simply moving metadata management to the user space can compromise security or flexibility. This paper introduces Simurgh, a hardware-assisted user space file system with decentralized metadata management that allows secure metadata updates from within user space. Simurgh guarantees consistency, durability, and ordering of updat…

MetadataFile systemConsistency (database systems)Shared memoryComputer scienceScalabilityMetadata managementData_FILESUser spaceOperating systemLinux kernelcomputer.software_genrecomputerProceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis
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Detection of behavioral alterations and learning deficits in mice lacking synaptophysin.

2009

The integral membrane protein synaptophysin is one of the most abundant polypeptide components of synaptic vesicles. It is not essential for neurotransmission despite its abundance but is believed to modulate the efficiency of the synaptic vesicle cycle. Detailed behavioral analyses were therefore performed on synaptophysin knockout mice to test whether synaptophysin affects higher brain functions. We find that these animals are more exploratory than their wild type counterparts examining novel objects more closely and intensely in an enriched open field arena. We also detect impairments in learning and memory, most notably reduced object novelty recognition and reduced spatial learning. Th…

Mice KnockoutbiologyBehavior AnimalGeneral NeuroscienceWild typeSynaptophysinVisual AcuityLong-term potentiationRecognition PsychologyNeurotransmissionSynaptic vesicle cycleSynaptic vesicleOpen fieldMiceMemoryKnockout mouseSynaptophysinbiology.proteinElectroretinographyExploratory BehaviorAnimalsLearningPsychologyNeuroscienceNeuroscience
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Direct Evidence for Viral Antigen Presentation during Latent Cytomegalovirus Infection

2021

Murine models of cytomegalovirus (CMV) infection have revealed an immunological phenomenon known as “memory inflation” (MI). After a peak of a primary CD8+ T-cell response, the pool of epitope-specific cells contracts in parallel to the resolution of productive infection and the establishment of a latent infection, referred to as “latency.” CMV latency is associated with an increase in the number of cells specific for certain viral epitopes over time. The inflationary subset was identified as effector-memory T cells (iTEM) characterized by the cell surface phenotype KLRG1+CD127−CD62L−. As we have shown recently, latent viral genomes are not transcriptionally silent. Rather, viral genes are …

Microbiology (medical)Adoptive cell transferAntigenicitylatent infectionTransgeneAntigen presentationCongenital cytomegalovirus infectionBiologymedicine.disease_causeEpitopeviral latencymedicineImmunology and AllergyMolecular BiologycytomegalovirusMutationGeneral Immunology and MicrobiologyBrief ReportRmedicine.diseaseVirologyantigen presentationInfectious Diseasesmemory inflation (MI)Medicineinflationary effector-memory CD8 T cells (iTEM)CD8Pathogens
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Immunogenicity, reactogenicity, and immune memory after primary vaccination with a novel Haemophilus influenzae-Neisseria meningitidis serogroup C co…

2007

ABSTRACT We evaluated two formulations of a new combined Haemophilus influenzae type b (Hib)-meningococcal serogroup C (MenC)-tetanus toxoid (TT) conjugated vaccine and two formulations of a new MenC-TT vaccine (trials 711202/001 and 711202/008; clinical trial register numbers NCT00135486 and NCT00135564 [ www.ClinicalTrials.gov ]). A total of 520 healthy infants were randomized to receive primary vaccination (at 2, 3, and 4 months) with either MenC-TT plus diphtheria-tetanus-acellular pertussis (DTPa)-hepatitis B virus (HBV)-inactivated poliovirus (IPV)/Hib, Hib-MenC-TT plus DTPa-HBV-IPV, or MenC-CRM 197 plus DTPa-HBV-IPV/Hib (control). At 12 to 15 months, subjects received a polysaccharid…

Microbiology (medical)Clinical BiochemistryImmunologyPopulationMeningococcal VaccinesMeningococcal vaccineNeisseria meningitidis Serogroup CMeningococcal diseasemedicine.disease_causecomplex mixturesHaemophilus influenzaeAntigen-Antibody ReactionsConjugate vaccineImmunology and AllergyMedicineHumanseducationHaemophilus Vaccineseducation.field_of_studyAntigens BacterialReactogenicityVaccines Conjugatebusiness.industryNeisseria meningitidisInfantmedicine.diseaseVaccine ResearchVirologyAntibodies BacterialHaemophilus influenzaeVaccinationImmunologybusinessImmunologic MemoryClinical and vaccine immunology : CVI
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Induction of immunologic memory following primary vaccination with the 10-valent pneumococcal nontypeable Haemophilus influenzae protein D conjugate …

2011

Background Induction of immunologic memory was assessed following primary vaccination with 10-valent pneumococcal nontypeable Haemophilus influenzae protein D conjugate vaccine (PHiD-CV). Methods Infants were randomized (1:1) to receive 3 doses of PHiD-CV or 7vCRM (7-valent CRM197-conjugated pneumococcal conjugate vaccine [PCV]) at 2, 3, and 4 months of age followed by 23-valent pneumococcal polysaccharide vaccine (23vPS) booster dose at 11 to 14 months of age. Pneumococcal geometric mean antibody concentrations (GMCs) and opsonophagocytic activity (OPA) geometric mean titers were measured. Results Postprimary immune responses were consistent with those in previous PHiD-CV and 7vCRM studies…

Microbiology (medical)Heptavalent Pneumococcal Conjugate VaccineImmunization SecondaryBooster dosemedicine.disease_causecomplex mixturesPneumococcal conjugate vaccinePneumococcal InfectionsHaemophilus influenzaePneumococcal VaccinesConjugate vaccinemedicineHeptavalent Pneumococcal Conjugate VaccineHumansHepatitis B VaccinesVaccines CombinedDiphtheria-Tetanus-Pertussis VaccineImmunization ScheduleHaemophilus VaccinesVaccines Conjugatebusiness.industryVaccinationInfantOpsonin ProteinsPneumococcal polysaccharide vaccineAntibodies BacterialVaccinationPoliovirus Vaccine InactivatedInfectious DiseasesStreptococcus pneumoniaeTreatment OutcomeImmunizationPediatrics Perinatology and Child HealthImmunologybusinessImmunologic Memorymedicine.drugThe Pediatric infectious disease journal
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Compositional and Optical Gradient in Films of PbZrxTi1-xO3 (PZT) Family

2011

Pb(ZrxTi1-x)O3 (PZT) (x = 0-1) films have attracted the attention of researchers for the past 30 years due to their excellent ferroelectric (FE) and electromechanical properties, which have led to the commercialization of thin PZT films for ferroelectric random access memory (FeRAM), forming a market of several millions USD annually. Ferroelectricity of perovskite oxide thin films, especially PZT thin films, can be exploited in semiconductor devices to achieve non-volatile random access memory (NVRAM) with high-speed access and long endurance, which can overcome the barriers, encountered in current semiconductor memory technologies. The ferroelectricity can be also exploited to voltage depe…

Microelectromechanical systemsMaterials sciencebusiness.industryFerroelectric ceramicsFerroelectric RAMOptoelectronicsSemiconductor memorySemiconductor deviceThin filmbusinessFerroelectricityPyroelectricity
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Being in the Past and Perform the Future in a Virtual World: VR Applications to Assess and Enhance Episodic and Prospective Memory in Normal and Path…

2020

The process of aging commonly features a gradual deterioration in cognitive performance and, in particular, the decline of memory. Despite the increased longevity of the world's population, the prevalence of neurodegenerative conditions, such as dementia, continues to be a major burden on public health, and consequently, the latest research has been focused on memory and aging. Currently, the failure of episodic and Prospective memory (PM) is one of the main complaints in the elderly, considered among the early symptoms of dementia. It is therefore increasingly important to define more clearly the boundaries between normal and pathological aging. Recently, researchers have begun to build an…

Mini Reviewprospective memory (PM)assessmentPopulationvirtual reality.pathological agingSettore BIO/09 - Fisiologia050105 experimental psychologylcsh:RC321-571cognitive training03 medical and health sciencesBehavioral Neuroscience0302 clinical medicineProspective memorymedicineDementia0501 psychology and cognitive sciencesEffects of sleep deprivation on cognitive performanceEveryday lifeeducationlcsh:Neurosciences. Biological psychiatry. NeuropsychiatryBiological PsychiatryMemory and agingcognitive impairmenteducation.field_of_studyepisodic memory (EM)05 social sciencesPerspective (graphical)agingHuman Neurosciencemedicine.diseaseCognitive trainingPsychiatry and Mental healthNeuropsychology and Physiological PsychologyNeurologyvirtual realityPsychology030217 neurology & neurosurgeryCognitive psychologyFrontiers in Human Neuroscience
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Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models.

2012

Item does not contain fulltext The hippocampus is affected at an early stage in the development of Alzheimer's disease (AD). With the use of structural magnetic resonance (MR) imaging, we can investigate the effect of AD on the morphology of the hippocampus. The hippocampal shape variations among a population can be usually described using statistical shape models (SSMs). Conventional SSMs model the modes of variations among the population via principal component analysis (PCA). Although these modes are representative of variations within the training data, they are not necessarily discriminative on labeled data or relevant to the differences between the subpopulations. We use the shape des…

Models AnatomicMaleSupport Vector MachineDatabases FactualNeuropsychological TestsHippocampusFunctional Laterality030218 nuclear medicine & medical imagingLogical addressCorrelation0302 clinical medicineDiscriminative modelAlzheimer Centre [DCN PAC - Perception action and control NCEBP 11][ INFO.INFO-TI ] Computer Science [cs]/Image Processingeducation.field_of_studyBrain MappingPrincipal Component AnalysisVerbal LearningMagnetic Resonance ImagingNeurologyData Interpretation Statistical[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]Principal component analysisEducational StatusFemalePsychologyCognitive NeurosciencePopulationFeature selectionVerbal learningStatiscal Shape Model03 medical and health sciencesAlzheimer DiseaseArtificial IntelligenceSupport Vector MachinesHumansAlzheimer Centre [NCEBP 11]educationAgedMemory DisordersNeurology & NeurosurgeryModels Statisticalbusiness.industryPattern recognitionSupport vector machineMental RecallAlzheimerArtificial intelligenceAtrophybusiness030217 neurology & neurosurgery
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Distributed evolutionary approach to data clustering and modeling

2014

In this article we describe a framework (DEGA-Gen) for the application of distributed genetic algorithms for detection of communities in networks. The framework proposes efficient ways of encoding the network in the chromosomes, greatly optimizing the memory use and computations, resulting in a scalable framework. Different objective functions may be used for producing division of network into communities. The framework is implemented using open source implementation of MapReduce paradigm, Hadoop. We validate the framework by developing community detection algorithm, which uses modularity as measure of the division. Result of the algorithm is the network, partitioned into non-overlapping co…

Modularity (networks)Measure (data warehouse)Theoretical computer scienceComputer scienceComputationEncoding (memory)ScalabilityData miningDivision (mathematics)Representation (mathematics)computer.software_genreCluster analysiscomputer2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM)
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